Introducing a simple linear regression model
Exploring the Housing Dataset
  Visualizing the important characteristics of a dataset
Implementing an ordinary least squares linear regression model
  Solving regression for regression parameters with gradient descent
  Estimating the coefficient of a regression model via scikit-learn
Fitting a robust regression model using RANSAC
Evaluating the performance of linear regression models
Using regularized methods for regressionTurning a linear regression model into a curve – polynomial regression
  Modeling nonlinear relationships in the Housing Dataset  Dealing with nonlinear relationships using random forests
    Decision tree regression
    Random forest regressionSummary